MARATTO

article · Journal of Digital Food Energy & Water Systems

AI-Powered Decision Support Systems for Sustainable Agriculture using AI-Chatbot Solution

202423 citationsOpen accessOsun State University

In plain language

An artificial intelligence decision support system combines machine learning algorithms and data analytics with an interactive chatbot to promote sustainable agriculture. The system delivers real-time insights, recommendations, and guidance on optimal farming practices and crop management. Through a conversational chatbot interface, farmers can access personalised advice suited to their specific needs while interacting with the platform. By connecting artificial intelligence tools directly with agricultural operations, the initiative aims to enhance crop productivity and encourage environmentally sound farming approaches. In doing so, the approach seeks to reduce negative environmental impacts and support broader efforts toward global food security and sustainable agricultural production.

Key takeaways

  • An artificial intelligence decision support system uses machine learning and data analytics to provide real-time agricultural advice.
  • A conversational chatbot interface delivers personalised recommendations on crop management and optimal farming techniques to farmers.
  • The system aims to increase farming productivity while lowering negative environmental impacts and promoting sustainability.

Why it matters

Farming requires complex daily choices about crops and resource management. By delivering tailored advice directly through an accessible chatbot interface, artificial intelligence tools can help farmers make informed decisions quickly. This has the potential to raise yields, minimise environmental harm, and strengthen food security through sustainable cultivation practices.

Commercialisation angle

The system is intended as an advisory tool for farmers, providing automated, personalised decision support via a chatbot interface. Given the high-level description without reported field trial data or technical deployment metrics, the technology appears to be in an early development or conceptual stage. Practical adoption would require testing its advisory accuracy and usability in real-world farming environments.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

This paper introduces an innovative method for sustainable agriculture whereby an AI-powered decision support system (DSS) is developed that makes use of an AI chatbot solution. Using machine learning algorithms and data analytics, such as the ones that support the AI-DSS allows for real-time insights and advice or suggestions to be given out on best farming methods, and crop management among other things. Farmers can talk about the system's comfortability and take advice that is personalized with the AI chatbot interface. The project seeks to boost agricultural productivity, cut down environmental negative influences, and advocate sustainable methods of farming. This study intends to link AI technology with farming, to make our future world more sustainable and food secure.

Research topics

  • Water-Energy-Food Nexus Studies

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.36615/2ar4w994

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.